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Record W4285689440 · doi:10.51952/9781447350415.ch007

Nomadic positionings: a call for critical approaches to disability policy in Canada

2020· book-chapter· en· W4285689440 on OpenAlexaboutno aff
Pamela Moss, Michael J. Prince

Bibliographic record

VenuePolicy Press eBooks · 2020
Typebook-chapter
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyPsychologyHistory

Abstract

fetched live from OpenAlex

Intersectionality has gained popularity since the end of the 20th century as a way to both describe and explain inequities in society, including disability. We understand intersectionality to be ‘an analytical and political orientation that brings together a number of insights and practices developed largely in the context of black feminist and women of color political traditions’ (May, 2015, p 3). Central principles include understanding the experience of lived realities as a set of connections across multiple categories of differences; linking individual experience to wider social, political, cultural and economic processes; and refusing a preconfigured experience along any axis of power (after Moraga and Anzaldúa, 1983; Cho et al, 2013; Hankivsky, 2014). Disability justice and radical accessibility are two streams of the disability movement that use principles of intersectionality. Disability justice involves picking at, undoing and dismantling ableism as a system of oppression in concert with other forms of oppression such as racism and sexism. Radical accessibility, an intersectionalist political strategy, challenges all forms of oppression. It seeks to go beyond the inclusion of disabled people and to create communities where difference is not an organising principle of social order. Thus, access is as much about wheelchair ramps as it is about shedding light on the privilege arising from one’s social positioning in society (see Withers, 2012). Yet the mobilisation of intersectionality as a way to inform disability theory, practice or policy does not always succeed in holding the complexity that intersectionality is so good at identifying.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.031
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.353
Threshold uncertainty score0.750

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.034
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0080.012
Science and technology studies0.1130.089
Scholarly communication0.0450.033
Open science0.0110.029
Research integrity0.0140.023
Insufficient payload (model declined to judge)0.0140.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.305
GPT teacher head0.391
Teacher spread0.087 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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